f202cf3280
* fast reduction for reducemean (#8976) * Adding preprocessor checks for torch version during torch cpp extensions compilation (#8989) * custom autograd func memory refinement (#8993) * Release torch tensor referenced by torch gradient graph (created in PythonOp) * Update orttraining/orttraining/python/training/ortmodule/torch_cpp_extensions/torch_interop_utils/torch_interop_utils.cc * refine with comments Co-authored-by: Wei-Sheng Chin <wschin@outlook.com> * Fix issues in TensorRT EP (#8996) * fix big engine load issue and add cuda_cpu_alloc * remove redundancy * fix minor issues * [js/web] fix karma launch with chrome headless (#8998) * Update Nuget Packge Pipline to CUDA11.4 and TensorRT8 on Windows (#9000) * Update to CUDA11.4 and TensorRT-8.0.3.4 * update trt pool, remove cudnn from setup_env_gpu.bat * revert pool * test gpu package pipeline on t4 * back out changes * back out changes Co-authored-by: George Wu <jywu@microsoft.com> * Fix fuzz testing build blocking release. (#9008) * add model local function support (#8540) * updates for picking pnnx commit * add tests filter to c# tests * plus test fixes * fix versioning for contrib ops * fix tests * test filter for optional ops * more versioning related updates * fix test * fix layernorm spec * more updates * update docs * add more test filters * more filters * update binary size threshold * update docs * draft - enable model local function * enable model local functions in ORT * update to latest rel onnx commit * plus tests * plus more updates * plus updates * test updates * Fix for nested functions + shape inference * plus bug fix and updates per review * plus fixes per review * plus test updates * plus updates per review * plus fixes * fix a test Co-authored-by: Vincent Wang <wangwchpku@outlook.com> Co-authored-by: baijumeswani <bmeswani@microsoft.com> Co-authored-by: pengwa <pengwa@microsoft.com> Co-authored-by: Wei-Sheng Chin <wschin@outlook.com> Co-authored-by: stevenlix <38092805+stevenlix@users.noreply.github.com> Co-authored-by: Yulong Wang <yulongw@microsoft.com> Co-authored-by: Chi Lo <54722500+chilo-ms@users.noreply.github.com> Co-authored-by: George Wu <jywu@microsoft.com> Co-authored-by: Pranav Sharma <prs@microsoft.com> Co-authored-by: Ashwini Khade <askhade@microsoft.com> |
||
|---|---|---|
| .gdn | ||
| .github | ||
| cgmanifests | ||
| cmake | ||
| csharp | ||
| dockerfiles | ||
| docs | ||
| include/onnxruntime/core | ||
| java | ||
| js | ||
| objectivec | ||
| onnxruntime | ||
| orttraining | ||
| package/rpm | ||
| samples | ||
| server | ||
| tools | ||
| winml | ||
| .clang-format | ||
| .clang-tidy | ||
| .dockerignore | ||
| .flake8 | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| build.amd64.1411.bat | ||
| build.bat | ||
| build.sh | ||
| CODEOWNERS | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| NuGet.config | ||
| ort.wprp | ||
| packages.config | ||
| README.md | ||
| requirements-dev.txt | ||
| requirements-doc.txt | ||
| requirements-training.txt | ||
| requirements.txt.in | ||
| setup.py | ||
| ThirdPartyNotices.txt | ||
| VERSION_NUMBER | ||
ONNX Runtime is a cross-platform inference and training machine-learning accelerator.
ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. Learn more →
ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Learn more →
Get Started
General Information: onnxruntime.ai
Usage documention and tutorials: onnxruntime.ai/docs
Companion sample repositories:
- ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples
- ONNX Runtime Training: microsoft/onnxruntime-training-examples
Build Pipeline Status
| System | CPU | GPU | EPs |
|---|---|---|---|
| Windows | |||
| Linux | |||
| Mac | |||
| Android | |||
| iOS | |||
| WebAssembly |
Data/Telemetry
Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the privacy statement for more details.
Contributions and Feedback
We welcome contributions! Please see the contribution guidelines.
For feature requests or bug reports, please file a GitHub Issue.
For general discussion or questions, please use GitHub Discussions.
Code of Conduct
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
License
This project is licensed under the MIT License.